Activity Number:
|
4
|
Type:
|
Invited
|
Date/Time:
|
Sunday, August 11, 2002 : 2:00 PM to 3:50 PM
|
Sponsor:
|
Section on Statistics & the Environment*
|
Abstract - #300730 |
Title:
|
Combining Statistical and Physical Models for Environmental Processes
|
Author(s):
|
Michael Stein*+ and Barry Lesht and Dave Schwab and Dmitry Beletsky and Jonathan Stroud
|
Affiliation(s):
|
University of Chicago and Argonne National Laboratory and National Oceanic and Atmospheric Administration and University of Michigan and University of Pennsylvania
|
Address:
|
5734 S. University Avenue, Eckhart 135, Chicago, Illinois, 60637, U.S.A.
|
Keywords:
|
Spatial ; spatial-temporal ; hydrodynamics ; Lake Michigan
|
Abstract:
|
Environmental processes are traditionally studied using either statistical analyses of monitoring data--using little or no physical modeling--or physical models, making little or no direct use of monitoring data. We consider ways in which these two approaches can be fruitfully combined to improve environmental monitoring, pollution prediction, and scientific understanding of environmental processes. We will use the modeling of hydrodynamics of Lake Michigan as a case study for addressing these issues.
|